Cortex

Description

**Self-Learning AI Agent with On-Chain Proofs** Most agents execute. Cortex **optimizes itself.** **What this means:** → Deploy once, performance improves automatically → Strategies evolve from real outcomes, not just prompts → Prove to users your agent is actually getting smarter → On-chain milestones = trustless verification, not "trust me" **5 ML techniques working together:** • Q-Learning selects better actions over time • Reflexion analyzes failures, extracts lessons • Skill Synthesis captures what works as reusable behaviors • Textual Gradients evolve strategies via Claude • Contrastive Learning finds patterns in wins vs losses **Real results:** 50% → 88% success rate. Measured. Verified on Solana. **Use cases:** Trading, research, support, monitoring — any agent where improvement matters and proof matters more.

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